---
library_name: transformers
license: apache-2.0
base_model: microsoft/swin-base-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- pascal_voc
model-index:
- name: multilabel_classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# multilabel_classification

This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on the pascal_voc dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2309
- Roc Auc: 0.7662

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Roc Auc |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4603        | 1.0   | 157  | 0.3015          | 0.6697  |
| 0.2922        | 2.0   | 314  | 0.2428          | 0.7435  |
| 0.2561        | 3.0   | 471  | 0.2309          | 0.7662  |


### Framework versions

- Transformers 4.55.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.2